Load Boston Housing Dataset

Standardize Features

Fit Ridge Regression

The hyperparameter, $\alpha$, lets us control how much we penalize the coefficients, with higher values of $\alpha$ creating simpler modelers. The ideal value of $\alpha$ should be tuned like any other hyperparameter. In scikit-learn, $\alpha$ is set using the alpha parameter.